SARIMA Predictor

Based on a trained SARIMA model given at the model input port of this node, the forecasts values are computed.

Options

Reverse Log

Check this box if you applied the log transform inside the SARIMA Forecaster node while training your model. It will reverse the transform before generating forecasts.

Generate in-samples dynamically

Check this box to use in-sample prediction as lagged values. Otherwise use true values.

Forecast

Forecasts of the given time series h period ahead of the training data.

Options

SARIMA Predictor settings to configure the forecasts generated by the input model.

Reverse Log

Check this box if you applied the log transform inside the SARIMA Forecaster node while training your model. It will reverse the transform before generating forecasts.

Forecast

Forecasts of the given time series h period ahead of the training data.

Generate in-samples dynamically

Check this box to use in-sample prediction as lagged values. Otherwise use true values.

Input Ports

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Trained SARIMA model

Output Ports

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Table containing forecasts for the configured column, the first value will be one timestamp ahead of the final training value used.

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Links

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Installation

To use this node in KNIME, install the extension Time Series Extension from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 1.0.0.202409270142
On NodePit since: 2023-12-06
Last update: 2024-12-18
KNIME versions: From v5.2 to v5.2

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